1. 桂林电子科技大学 机构 计算机信息与安全学院,广西,桂林,541004
2. 桂林电子科技大学 广西可信软件重点实验室 机构,广西,桂林,541004
纸质出版:2020
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蒋华, 王瑶, 王慧娇, 王鑫. 基于模糊逻辑的WSNs能量高效分簇路由算法[J]. 微电子学与计算机, 2020, 37(7): 25-30.
JIANG Hua, WANG Yao, WANG Hui-jiao, et al. Energy efficient clustering routing algorithm in WSN based on fuzzy logic[J]. 2020, 37(7): 25-30.
针对无线传感器网络节点能量消耗不均衡导致其生命周期缩短的问题,运用模糊理论提出一种非均匀分簇路由算法,并根据节点能耗值确定网络最佳簇首数.在簇首选举时采用模糊逻辑推理系统,结合节点剩余能量、相对距离和理想簇区域内的邻居节点数并考虑网络最佳簇首数推理得到节点成为簇首的概率及簇首的竞争半径.成簇完成后,簇首将数据直接发送给基站或通过中继节点进行转发.仿真实验表明:改进算法有效地均衡了网络能耗,提高了能量利用率,延长了网络生命周期.
Aiming at the problem that the life time of wireless sensor network is shortened due to the unbalanced energy consumption of nodes
a non-uniform clustering routing algorithm is proposed based on fuzzy theory. The optimal number of cluster heads is determined according to the energy consumption of nodes. By using the fuzzy system and the optimal number of cluster heads
the probability of the node becoming the cluster head and the competition radius of the cluster head are deduced by combining the residual energy
relative distance and the number of neighbor nodes in the ideal cluster area. After clustering
the cluster head sends the data directly to the base station or forwards it through the relay node. Simulation results show that the improved algorithm can effectively balance the network energy consumption
improve the energy efficiency and extend the network life time.
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胡中栋, 易涛, 王振东.基于最优分簇的能量异构无线传感器网络路由协议[J].传感技术学报, 2018(8):1240-1245. DOI: 1240
MEZGHANI M. An efficient multi-hops clustering and data routing for WSNs based on Khalimsky shortest paths[J]. Journal of Ambient Intelligence and Humanized Computing, 2019, 10(4SI): 1275-1288. DOI: 1275
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